Simananda, Jonathan and Erwin, Alva and Eng, Kho I (2015) Study on Twitter Networks Using NodeXL. Bachelor thesis, Swiss German University.
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Abstract
Twitter is one of the emerging social media that introduce microblogging, more known term as “tweeting”. Celebrities, famous brands, and recognized companies has contents on Twitter that create a topical conversation that influence massive users in a short period of time. The problem raised when people who invest and use Twitter want to see the results of their work. Therefore, a study need to be conducted to understand how these contents are spreading inside the network. NodeXL is a toolkit that provides the capability to collect and analyze social network data with many network measures for network analysis and visualization. The result of the data show different pattern of content spreading, and multiple factor that makes these content is engaged in conversations.
| Item Type: | Thesis (Bachelor) |
|---|---|
| Uncontrolled Keywords: | Twitter; Social Network; Data Mining; Graph Visualization; NodeXL |
| Subjects: | H Social Sciences > HM Sociology > HM742 Online social networks H Social Sciences > HM Sociology > HM742 Online social networks > HM742.1 Social Media T Technology > T Technology (General) > T58.5 Information technology |
| Divisions: | Faculty of Engineering and Information Technology > Department of Information Technology |
| Depositing User: | Atroridho Rizky |
| Date Deposited: | 20 Jan 2021 14:58 |
| Last Modified: | 20 Jan 2021 14:58 |
| URI: | http://repository.sgu.ac.id/id/eprint/1719 |
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